Master's track Smart Industry
Source: https://www.tue.nl/en/education/graduate-school/masters-track-smart-industry Parent: https://www.tue.nl/en/education/degree-programs/master-programs
A track within MSc Operations Management and Logistics
Master's track Smart Industry
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ECTS points
120
Education type
Master program
Duration
2 year
Language
English
Degree
Master of Science (MSc)
In the age of smart industry, a combination of developments in manufacturing technologies and automation and advances in data and AI technologies is leading to a change in how production planning and control decisions are made. There is also an increasing trend for digitized after-sales services by manufacturers of the equipment used in production and service. Given the global ambition to be more sustainable, flexible, resilient and cost-effective, these trends are creating new challenges for decision-makers – challenges that students of Operations Management and Logistics’ Smart Industry track are equipped to address.
What you will learn as part of the Smart Industry track
Within the Smart Industry track, the main topics of Operations Management and Logistics include data-driven production planning and control, AI-driven decision support, business process optimization, AI-driven process management, digital and sustainable factories, collaborative manufacturing, design and real-time control of material handling systems, predictive maintenance, service control towers, and human performance. In addressing these themes, students gain a strong methodological basis, scientific operational domain knowledge on manufacturing and maintenance, competency in smart industry design and a keen focus on relevant research methods such as AI. By the end of the track, students will have developed themselves as global citizens through meaningful interactions with international staff and students, as well as the option to go abroad for an international semester.
When to choose the Smart Industry track
Would you like to absorb state-of-the art know-how in the field of operations management and grow into a leadership role to manage global manufacturing networks? Would you like to apply this to the world of industry, such as to boost the performance, sustainability and resilience of high-tech production systems? Would you like to efficiently minimize the downtime of machines through smart use of data, analyses and models? If so, Smart Industry may be the track for you.
How you will learn
TU/e is located in Brainport – Europe’s most innovative technology region – and this track therefore offers many opportunities to interact with leading companies. This includes site visits, organizational challenges, research projects and guest lectures. To ensure that students feel supported throughout their master’s program and make well-informed decisions, Smart Industry also makes use of a mentor system. From the early months of the program onward, an experienced lecturer and researcher will guide you in making choices on elective courses, studying abroad and the graduation project. This region, program and mentoring system all enable students to tailor their education to their skills and interests with a view to their long-term future.
## "Watch a short introduction video about the Master’s Track Smart Industry"
Related master's program and tracks
[### Master Operations Management and Logistics
Includes 4 tracks](https://www.tue.nl/en/education/graduate-school/master-operations-management-and-logistics)[A track within MSc Operation Management and Logistics
Master's track Analytics for Transport and Mobility](https://www.tue.nl/en/education/graduate-school/masters-track-analytics-for-transport-and-mobility)[A track within MSc Operations Management and Logistics
Master's track Smart Services](https://www.tue.nl/en/education/graduate-school/masters-track-smart-services)[A track within MSc Operations Management and Logistics
Master's track Supply Chain Management](https://www.tue.nl/en/education/graduate-school/masters-track-supply-chain-management)
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## "I DREAM OF DATA-DRIVEN SOLUTIONS TO PREVENT DEFECTIVE PRODUCTS"
During my bachelor in Industrial Engineering I was especially fascinated by courses that combined mathematics and data to improve...
Kenneth Braakman
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